Installing cognitive algorithms in small computers

How can limited-capacity devices such as smartphones run highly complex AI algorithms in the future? In the Wiplash project, researchers at the University of Siegen are working on a solution with a new computer architecture.

The field of artificial intelligence is developing at breakneck speed. Today, automatic image recognition is advancing rapidly and machines have long been capable of learning games by themselves. These are just two of countless examples. It seems the sky’s the limit, if only we could overcome the technical constraints. The problem is that AI is based on complex algorithms and consumes vast computer processing power. This often requires large computer centers. Currently, it is practically impossible to transfer the algorithms to smaller devices like smartphones. In the EU-funded Wiplash project, a team from the University of Siegen and scientists from all over Europe are working on changing this. “It’s about taking AI out of large computer centers and transferring it to mobile platforms”, says Prof. Dr. Haring Bolívar, the Chair of High Frequency and Quantum Electronics.

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